83 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Minnesota in United States
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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, computer vision in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment. Duties/Responsibilities: ● Risk predictive model for clinical
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Previous Job Job Title Post-Doctoral Associate - Department of Biology Teaching and Learning Next Job Apply for Job Job ID 369337 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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Previous Job Job Title Post-Doctoral Associate - Computation (Hanany) Next Job Apply for Job Job ID 369600 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular
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, writing, and presentations Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related field who possesses a strong laboratory background and communication skills. Preferred
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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to: Understand basic principles of brain functioning across development (i.e. figure out how the brain works). Learn about how neuropsychiatric and other brain-based disorders develop and progress over time
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to lead a project related to the transport of bacteria in porous media and multiphase flow. A PhD degree in engineering or earth science is needed. 75% - Conduct laboratory experiments related
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mentor undergraduates, graduate students, and/or researchers in the lab. Qualifications Required Qualifications: PhD in biochemistry or a related field. At least one first author publication, including
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired